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process resulted in slightly different item wordings for in-store and online shoppers. Table 2<br />

contains the final set of items for each convenience dimension.<br />

Sampling Procedure<br />

--------------------------------<br />

Table 2 about here<br />

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The final survey version was administered to a convenience sample consisting of both<br />

students and non-students. Marketing students enrolled in upper-level undergraduate consumer<br />

behavior courses participated as both respondents and recruiters. Each student was asked to<br />

complete the survey and to recruit one other non-student to also complete the survey. Non-student<br />

names and phone numbers were collected and randomly checked to ensure authenticity. This<br />

process resulted in 308 total usable surveys (45% male, mean age 30); 241 completed their last<br />

major purchase in a traditional store, while 67 completed their last major purchase online.<br />

When answering the questions related to retail convenience, respondents were asked to think<br />

about their most recent major purchase. This was done to increase the chance that respondents<br />

would remember their purchase in as much detail as possible. Those respondents who made their<br />

most recent major purchase in a traditional store were directed to the scale items for in-store<br />

shopping, while those respondents who completed their most recent major purchase online were<br />

directed to the “online shopping” section of the survey.<br />

Statistical Technique<br />

Several statistical techniques were used to analyze the data. In order to test Hypothesis 1,<br />

statistics typically used in scale development were employed, including Cronbach’s alpha, principal<br />

components analysis, and confirmatory factor analysis using LISREL 8.3 for Windows. In order to<br />

test Hypotheses 2 through 4, analysis of variance was used to compare scale means of access,<br />

search, and possession convenience for in-store and online shoppers.<br />

37

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